Climatology / Meteorology / Atmosphere Data - Page 3

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research)3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30cm. Multiple regression used site characteritics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30 cm. Multiple regression used site characteristics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

New Zealand Environmental Data Stack (NZEnvDS) comprises a set of 72 spatial layers for environmental modelling and site characterisation. NZEnvDS includes the layers that informed the Land Environments of New Zealand (LENZ), additional layers generated for LENZ that were never publicly released, and additional layers generated since, all covering mainland New Zealand and surrounding inshore islands. The original/top copy of the dataset is available at (doi.org/10.7931/m6rm-vz40), but the layers are reproduced here for ease of access. See (newzealandecology.org/nzje/3440/) for a publication describing NZEnvDS. Calculated using the source monthly LENZ temperature layers for the years 1950–1980 (Leathwick et al. 2002) and the biovars function in the dismo R package (Hijmans et al. 2017).

Please cite the original paper as attribution when using these layers.

New Zealand Environmental Data Stack (NZEnvDS) comprises a set of 72 spatial layers for environmental modelling and site characterisation. NZEnvDS includes the layers that informed the Land Environments of New Zealand (LENZ), additional layers generated for LENZ that were never publicly released, and additional layers generated since, all covering mainland New Zealand and surrounding inshore islands. The original/top copy of the dataset is available at (doi.org/10.7931/m6rm-vz40), but the layers are reproduced here for ease of access. See (newzealandecology.org/nzje/3440/) for a publication describing NZEnvDS. Calculated using the source monthly LENZ temperature layers for the years 1950–1980 (Leathwick et al. 2002) and the biovars function in the dismo R package (Hijmans et al. 2017).

Please cite the original paper as attribution when using these layers.